Liron Yatziv

Computer Vision and Pattern Recognition · 2006–2025

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Liron Yatziv trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Hongkai Zhao
  2. Anat Levin
  3. Tom Welsh
  4. Coloma Ballester
  5. Michael Ashikhmin
  6. Dani Lischinski
  7. V. Caselles
  8. Yair Weiss
  9. Klaus Mueller

Who trusts Liron Yatziv overall

  1. Manoj Kumar
  2. Zezhou Cheng
  3. Revital Ironi
  4. Raj Kumar Gupta
  5. Jiahao Pang
  6. Xue Bai
  7. Dirk Weissenborn
  8. Qingxiong Yang
  9. Daniel Cohen-Or
  10. Alex Yong Sang Chia

Papers from Liron Yatziv's perspective

Ordered by how strongly the researchers Liron Yatziv trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Object Detection with Discriminatively Trained Part Based Models
  5. Gradient-based learning applied to document recognition
  6. GradientBased Learning Applied to Document Recognition
  7. Improving neural networks by preventing co-adaptation of feature detectors
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers